Fabrice Baudoin
- Applied Mathematics top 1%
- Mathematical Physics top 2%
- Finance top 2%
- Geometry and Topology top 2%
- Computational Theory and Mathematics top 5%
- Co-authors
- Michel BonnefontNicola GarofaloMartin HairerLaure CoutinCheng OuyangDavid NualartJosef TeichmannDjalil Chafaï
- Topics
- Geometric Analysis and Curvature Flows (39 papers)Stochastic processes and financial applications (26 papers)Geometry and complex manifolds (25 papers)
- Journals
- Journal of Applied PhysicsLecture notes in mathematicsJournal of Mathematical Analysis and Applications
- Partner nations
- United StatesFranceDenmark
In The Last Decade
Fabrice Baudoin
75 papers receiving 851 citations
Peers
Comparison fields: 5 of 56
- Applied Mathematics 474
- Mathematical Physics 331
- Finance 299
- Geometry and Topology 233
- Computational Theory and Mathematics 135
Countries citing papers authored by Fabrice Baudoin
This map shows the geographic impact of Fabrice Baudoin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fabrice Baudoin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrice Baudoin more than expected).
Fields of papers citing papers by Fabrice Baudoin
This network shows the impact of papers produced by Fabrice Baudoin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fabrice Baudoin. The network helps show where Fabrice Baudoin may publish in the future.
Co-authorship network of co-authors of Fabrice Baudoin
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Baudoin. A scholar is included among the top collaborators of Fabrice Baudoin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabrice Baudoin. Fabrice Baudoin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 31 | |
| 16 | 15 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | 33 | |
| 20 | 50 |
About Fabrice Baudoin
Fabrice Baudoin is a scholar working on Applied Mathematics, Mathematical Physics and Geometry and Topology, having authored 85 papers that have together received 886 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (39 papers), Stochastic processes and financial applications (26 papers) and Geometry and complex manifolds (25 papers). The work is most often cited by research in Applied Mathematics (474 citations), Mathematical Physics (331 citations) and Finance (299 citations). Fabrice Baudoin has collaborated with scholars based in United States, France and Denmark. Frequent co-authors include Michel Bonnefont, Nicola Garofalo, Martin Hairer, Laure Coutin, Cheng Ouyang, David Nualart, Josef Teichmann, Djalil Chafaï, Dominique Bakry and Samy Tindel. Their work appears in journals such as Journal of Applied Physics, Lecture notes in mathematics and Journal of Mathematical Analysis and Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.